Charging Dispatching System Of Electric Taxi Based On Edge Computing

In recent years,electric vehicles are gradually replacing traditional petroleum vehicles due to their advantages of low emission,low energy consumption,environmental protection and green lights.Along with each city to environmental protection as well as limits the license plate limit number policy request,the electric private car gradually enters each household.Electric taxis and buses have entered every corner of the city with the support of national and local policies.Among them,electric taxi is an indispensable part of the link of electric car.When a large number of electric taxis are charged,the power consumption of charging piles is bound to be strained,and the efficiency of taxi queuing is reduced.Therefore,it is necessary to design a reasonable charging scheduling strategy for electric taxis.Electric vehicle optimization scheduling,this paper designed for electric taxi,a hardware system based on STM32 software combined with edge computing concept and the Internet of things technology for data analysis,on the taxi charging pile taxi capacity deployment of hardware system and location information collection,when the taxi need to recharge,vehicle-mounted system began to retrieve from the nearest charging pile several charging pile,and sent them to charge request,at this point,the charging pile according to all the requested information and the current state of the recharged deployment.In the process of allocation,a recommendation mechanism is proposed,which forms a kind of distributed edge system management,improves scheduling efficiency and makes full use of resources.Secondly,due to the flexible driving route of the taxi,the paper adopts monte carlo algorithm to analyze its running mode and driving characteristics,calculates the charging load curve of a single electric taxi,and predicts and analyzes the charging load of the electric taxi through the charging load curve.Electric taxi drivers as rational economic man,through the price of the power market to the taxi group for effective guidance and reasonable scheduling.Finally,through a large number of simulation calculations,it can assist the electric taxi to select the optimal charging time for charging,optimize the vehicle charging cost and operating profit,apply to the autonomous scheduling of individuals in group vehicles,and achieve a good scheduling effect.